Agent-based and Multi-agent Systems
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments
Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana
Proportionally Fair Online Allocation of Public Goods with Predictions
Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah
On the Role of Memory in Robust Opinion Dynamics
Luca Becchetti, Andrea Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan, Robin Vacus
On a Voter Model with Context-Dependent Opinion Adoption
Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale
Scalable Verification of Strategy Logic through Three-Valued Abstraction
Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
Kayla Boggess, Sarit Kraus, Lu Feng
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers
Da Qi Chen, Ann Li, George Z. Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Anticipatory Fictitious Play
Alex Cloud, Albert Wang, Wesley Kerr
Safe Multi-agent Learning via Trapping Regions
Aleksander Czechowski, Frans A. Oliehoek
Multi-Agent Intention Recognition and Progression
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah
Controlling Neural Style Transfer with Deep Reinforcement Learning
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation
Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Xudong Guo, Daming Shi, Wenhui Fan
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics
Aamal Hussain, Francesco Belardinelli, Georgios Piliouras
Principal-Agent Boolean Games
David Hyland, Julian Gutierrez, Michael Wooldridge
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning
Waldy Joe, Hoong Chuin Lau
Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning
Kiarash Kazari, Ezzeldin Shereen, Gyorgy Dan
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
David Klaška, Antonín Kučera, Martin Kurečka, Vít Musil, Petr Novotný, Vojtěch Řehák
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?
Pascal Kunz, Hendrik Molter, Meirav Zehavi
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
Lening Li, Hazhar Rahmani, Jie Fu
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control
Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks
Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli
Discounting in Strategy Logic
Munyque Mittelmann, Aniello Murano, Laurent Perrussel
Why Rumors Spread Fast in Social Networks, and How to Stop It
Ahad N. Zehmakan, Charlotte Out, Sajjad Hesamipour Khelejan
Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding
Keisuke Okumura
Quick Multi-Robot Motion Planning by Combining Sampling and Search
Keisuke Okumura, Xavier Défago
Asynchronous Communication Aware Multi-Agent Task Allocation
Ben Rachmut, Sofia Amador Nelke, Roie Zivan
Towards a Better Understanding of Learning with Multiagent Teams
David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
Multi-Agent Systems with Quantitative Satisficing Goals
Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi
Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy
Amika M. Singh, Munindar P. Singh
CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Elizaveta Tennant, Stephen Hailes, Mirco Musolesi
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks
Pei Xu, Junge Zhang, Kaiqi Huang
Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning
Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan
Computer Vision
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking
Chamath Abeysinghe, Chris Reid, Hamid Rezatofighi, Bernd Meyer
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang
A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution
Jiahao Chao, Zhou Zhou, Hongfan Gao, Jiali Gong, Zhenbing Zeng, Zhengfeng Yang
MMPN: Multi-supervised Mask Protection Network for Pansharpening
Changjie Chen, Yong Yang, Shuying Huang, Wei Tu, Weiguo Wan, Shengna Wei
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Hanyuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie
Fluid Dynamics-Inspired Network for Infrared Small Target Detection
Tianxiang Chen, Qi Chu, Bin Liu, Nenghai Yu
CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning
Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang
Robust Image Ordinal Regression with Controllable Image Generation
Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Chen, Jian Wu
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation
Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen
Strip Attention for Image Restoration
Yuning Cui, Yi Tao, Luoxi Jing, Alois Knoll
RZCR: Zero-shot Character Recognition via Radical-based Reasoning
Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation
Chuanghao Ding, Jianrong Zhang, Henghui Ding, Hongwei Zhao, Zhihui Wang, Tengfei Xing, Runbo Hu
ICDA: Illumination-Coupled Domain Adaptation Framework for Unsupervised Nighttime Semantic Segmentation
Chenghao Dong, Xuejing Kang, Anlong Ming
DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network
Shuting Dong, Feng Lu, Zhe Wu, Chun Yuan
Timestamp-Supervised Action Segmentation from the Perspective of Clustering
Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
Zhongjing Du, Xu Jiang, Peng Wang, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang
Improve Video Representation with Temporal Adversarial Augmentation
Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation
Ke Fan, Changan Wang, Yabiao Wang, Chengjie Wang, Ran Yi, Lizhuang Ma
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
Sub-Band Based Attention for Robust Polyp Segmentation
Xianyong Fang, Yuqing Shi, Qingqing Guo, Linbo Wang, Zhengyi Liu
Incorporating Unlikely Negative Cues for Distinctive Image Captioning
Zhengcong Fei, Junshi Huang
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez
Contrastive Learning for Sign Language Recognition and Translation
Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
Young-Joo Han, Ha-Jin Yu
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation
Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention
Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang
Dual Video Summarization: From Frames to Captions
Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu
Orion: Online Backdoor Sample Detection via Evolution Deviance
Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang, Chuang Zhu, Wenkai Chen
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, YoungJoon Yoo
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
Deyi Ji, Feng Zhao, Hongtao Lu
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
Xiangze Jia, Hui Zhou, Xinge Zhu, Yandong Guo, Ji Zhang, Yuexin Ma
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen
Physics-Guided Human Motion Capture with Pose Probability Modeling
Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang
SWAT: Spatial Structure Within and Among Tokens
Kumara Kahatapitiya, Michael S. Ryoo
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman
IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation
Jeongho Kim, Hanbeen Lee, Simon S. Woo
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
Clustered-patch Element Connection for Few-shot Learning
Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
RaMLP: Vision MLP via Region-aware Mixing
Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Pengcheng Lei, Faming Fang, Guixu Zhang, Ming Xu
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Tao Lei, Rui Sun, Xuan Wang, Yingbo Wang, Xi He, Asoke Nandi
WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows
Chunxiao Li, Xuejing Kang, Anlong Ming
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution
Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong
TG-VQA: Ternary Game of Video Question Answering
Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint
Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye
ALL-E: Aesthetics-guided Low-light Image Enhancement
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening
Mingsong Li, Yikun Liu, Tao Xiao, Yuwen Huang, Gongping Yang
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View
Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu
Compositional Zero-Shot Artistic Font Synthesis
Xiang Li, Lei Wu, Changshuo Wang, Lei Meng, Xiangxu Meng
VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning
Xiaofan Li, Yachao Zhang, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection
Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li
Image Composition with Depth Registration
Zan Li, Wencheng Wang, Fei Hou
Complete Instances Mining for Weakly Supervised Instance Segmentation
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
Analyzing and Combating Attribute Bias for Face Restoration
Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen, Bo Tang
A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
Zinuo Li, Xuhang Chen, Shuqiang Wang, Chi-Man Pun
U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation
Zizhuo Li, Shihua Zhang, Jiayi Ma
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
Low-Confidence Samples Mining for Semi-supervised Object Detection
Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction
Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation
Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention
Xiangcheng Liu, Tianyi Wu, Guodong Guo
Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods
Xinyuan Liu, Hang Xu, Bin Chen, Qiang Zhao, Yike Ma, Chenggang Yan, Feng Dai
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu
Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition
Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, Boxin Shi
Semantic-Aware Generation of Multi-View Portrait Drawings
Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling
Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu
Dual Relation Knowledge Distillation for Object Detection
Zhen-Liang Ni, Fukui Yang, Shengzhao Wen, Gang Zhang
OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao, Jing Zhang
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
Shuyi Ouyang, Hongyi Wang, Shiao Xie, Ziwei Niu, Ruofeng Tong, Yen-Wei Chen, Lanfen Lin
Active Visual Exploration Based on Attention-Map Entropy
Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Bartosz Zieliński, Tomasz Trzciński
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra
Contour-based Interactive Segmentation
Polina Popenova, Danil Galeev, Anna Vorontsova, Anton Konushin
XFormer: Fast and Accurate Monocular 3D Body Capture
Lihui Qian, Xintong Han, Faqiang Wang, Hongyu Liu, Haoye Dong, Zhiwen Li, Huawei Wei, Zhe Lin, Cheng-Bin Jin
ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings
Minseok Seo, Hyuk-Jae Lee, Xuan Truong Nguyen
Teaching What You Should Teach: A Data-Based Distillation Method
Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh
Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables
Huawen Shen, Xiang Gao, Jin Wei, Liang Qiao, Yu Zhou, Qiang Li, Zhanzhan Cheng
Data Level Lottery Ticket Hypothesis for Vision Transformers
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang
Depth-Relative Self Attention for Monocular Depth Estimation
Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim
Acoustic NLOS Imaging with Cross Modal Knowledge Distillation
Ui-Hyeon Shin, Seungwoo Jang, Kwangsu Kim
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing
Appearance Prompt Vision Transformer for Connectome Reconstruction
Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu
Domain-Adaptive Self-Supervised Face & Body Detection in Drawings
Barış Batuhan Topal, Deniz Yuret, Tevfik Metin Sezgin
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting
Gaoang Wang, Mingli Song
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
Hierarchical Prompt Learning for Compositional Zero-Shot Recognition
Henan Wang, Muli Yang, Kun Wei, Cheng Deng
A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation
Liuyi Wang, Zongtao He, Jiagui Tang, Ronghao Dang, Naijia Wang, Chengju Liu, Qijun Chen
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification
Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, Xin Yang
Accurate MRI Reconstruction via Multi-Domain Recurrent Networks
Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation
Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan, Jian Pu
Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor
Jiahua Xiao, Xing Wei
ViT-CX: Causal Explanation of Vision Transformers
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach
Wuyuan Xie, Tengcong Huang, Miaohui Wang
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong, Hao Chen, Joseph J.Y. Sung, Irwin King
Universal Adaptive Data Augmentation
Xiaogang Xu, Hengshuang Zhao
Video Object Segmentation in Panoptic Wild Scenes
Yuanyou Xu, Zongxin Yang, Yi Yang
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests
Yunlong Xu, Lingxiao Yang, Hongzhi You, Zonglei Zhen, Da-Hui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning
Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
Few-shot Classification via Ensemble Learning with Multi-Order Statistics
Sai Yang, Fan Liu, Delong Chen, Jun Zhou
Video Diffusion Models with Local-Global Context Guidance
Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
Exploring Safety Supervision for Continual Test-time Domain Adaptation
Xu Yang, Yanan Gu, Kun Wei, Cheng Deng
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren
Orientation-Independent Chinese Text Recognition in Scene Images
Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization
Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu
Black-box Prompt Tuning for Vision-Language Model as a Service
Lang Yu, Qin Chen, Jiaju Lin, Liang He
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Yike Yuan, Xinghe Fu, Yunlong Yu, Xi Li
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Boqiang Zhang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Yongdong Zhang
Spatially Covariant Lesion Segmentation
Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan
Learning Object Consistency and Interaction in Image Generation from Scene Graphs
Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang, Changyuan Yang, Lingyun Sun
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation
Yuxuan Zhang, Wei Yang, Shaowei Wang
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He, Quan Zhou, Guangtao Zhai
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
Tianlun Zheng, Zhineng Chen, Jinfeng Bai, Hongtao Xie, Yu-Gang Jiang
Video Frame Interpolation with Densely Queried Bilateral Correlation
Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu
Pyramid Diffusion Models for Low-light Image Enhancement
Dewei Zhou, Zongxin Yang, Yi Yang
CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD
Shengdi Zhou, Tianyi Tang, Bin Zhou
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
Dichotomous Image Segmentation with Frequency Priors
Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao
Vision Language Navigation with Knowledge-driven Environmental Dreamer
Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang
Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method
Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning
Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue
Data Mining
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng
Targeting Minimal Rare Itemsets from Transaction Databases
Amel Hidouri, Badran Raddaoui, Said Jabbour
Enhancing Network by Reinforcement Learning and Neural Confined Local Search
Qifu Hu, Ruyang Li, Qi Deng, Yaqian Zhao, Rengang Li
A Symbolic Approach to Computing Disjunctive Association Rules from Data
Said Jabbour, Badran Raddaoui, Lakhdar Sais
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui
Hawkes Process Based on Controlled Differential Equations
Minju Jo, Seungji Kook, Noseong Park
Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time
Valerie King, Alex Thomo, Quinton Yong
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting
Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
Model Conversion via Differentially Private Data-Free Distillation
Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge
Gapformer: Graph Transformer with Graph Pooling for Node Classification
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
Multi-Scale Subgraph Contrastive Learning
Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
Continuous-Time Graph Learning for Cascade Popularity Prediction
Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu
Dynamic Group Link Prediction in Continuous-Time Interaction Network
Shijie Luo, He Li, Jianbin Huang
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization
Yi-Fan Ma, Yali Du, Ming Li
Uncovering the Largest Community in Social Networks at Scale
Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei, Junxian Li, Bin Shi, Hua Wei
Discriminative-Invariant Representation Learning for Unbiased Recommendation
Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
Semi-supervised Domain Adaptation in Graph Transfer Learning
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Self-supervised Graph Disentangled Networks for Review-based Recommendation
Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Xinbing Wang, Chenghu Zhou
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
Denoised Self-Augmented Learning for Social Recommendation
Tianle Wang, Lianghao Xia, Chao Huang
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction
Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu
OptIForest: Optimal Isolation Forest for Anomaly Detection
Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu
Hierarchical Apprenticeship Learning for Disease Progression Modeling
Xi Yang, Ge Gao, Min Chi
Exploiting Non-Interactive Exercises in Cognitive Diagnosis
Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation
Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang
Sequential Recommendation with Probabilistic Logical Reasoning
Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information
Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen
Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification
Han Zhou, Hongpeng Yin, Xuanhong Deng, Yuyu Huang
Totally Dynamic Hypergraph Neural Networks
Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu
Game Theory and Economic Paradigms
Simplification and Improvement of MMS Approximation
Hannaneh Akrami, Jugal Garg, Eklavya Sharma, Setareh Taki
Fair and Efficient Allocation of Indivisible Chores with Surplus
Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta
Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents
Thomas Archbold, Bart de Keijzer, Carmine Ventre
Temporal Network Creation Games
Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas
Schelling Games with Continuous Types
Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt
Delegated Online Search
Pirmin Braun, Niklas Hahn, Martin Hoefer, Conrad Schecker
Proportionality Guarantees in Elections with Interdependent Issues
Markus Brill, Evangelos Markakis, Georgios Papasotiropoulos, Jannik Peters
Outsourcing Adjudication to Strategic Jurors
Ioannis Caragiannis, Nikolaj Schwartzbach
New Fairness Concepts for Allocating Indivisible Items
Ioannis Caragiannis, Jugal Garg, Nidhi Rathi, Eklavya Sharma, Giovanna Varricchio
Optimal Seat Arrangement: What Are the Hard and Easy Cases?
Esra Ceylan, Jiehua Chen, Sanjukta Roy
Rainbow Cycle Number and EFX Allocations: (Almost) Closing the Gap
Shayan Chashm Jahan, Masoud Seddighin, Seyed-Mohammad Seyed-Javadi, Mohammad Sharifi
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Deliberation as Evidence Disclosure: A Tale of Two Protocol Types
Julian Chingoma, Adrian Haret
Adversarial Contention Resolution Games
Giorgos Chionas, Bogdan S. Chlebus, Dariusz R. Kowalski, Piotr Krysta
Measuring a Priori Voting Power in Liquid Democracy
Rachael Colley, Théo Delemazure, Hugo Gilbert
Measuring and Controlling Divisiveness in Rank Aggregation
Rachael Colley, Umberto Grandi, César Hidalgo, Mariana Macedo, Carlos Navarrete
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining
Lvye Cui, Haoran Yu
Differentiable Economics for Randomized Affine Maximizer Auctions
Michael Curry, Tuomas Sandholm, John Dickerson
Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems
Argyrios Deligkas, Eduard Eiben, Gregory Gutin, Philip Neary, Anders Yeo
Algorithmics of Egalitarian versus Equitable Sequences of Committees
Eva Michelle Deltl, Till Fluschnik, Robert Bredereck
Discrete Two Player All-Pay Auction with Complete Information
Marcin Dziubiński, Krzysztof Jahn
Participatory Budgeting: Data, Tools and Analysis
Piotr Faliszewski, Jarosław Flis, Dominik Peters, Grzegorz Pierczyński, Piotr Skowron, Dariusz Stolicki, Stanisław Szufa, Nimrod Talmon
An Experimental Comparison of Multiwinner Voting Rules on Approval Elections
Piotr Faliszewski, Martin Lackner, Krzysztof Sornat, Stanisław Szufa
Diversity, Agreement, and Polarization in Elections
Piotr Faliszewski, Andrzej Kaczmarczyk, Krzysztof Sornat, Stanisław Szufa, Tomasz Wąs
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities
Zhikang Fan, Weiran Shen
Strategic Resource Selection with Homophilic Agents
Jonathan Gadea Harder, Simon Krogmann, Pascal Lenzner, Alexander Skopalik
New Algorithms for the Fair and Efficient Allocation of Indivisible Chores
Jugal Garg, Aniket Murhekar, John Qin
First-Choice Maximality Meets Ex-ante and Ex-post Fairness
Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang
A Unifying Formal Approach to Importance Values in Boolean Functions
Hans Harder, Simon Jantsch, Christel Baier, Clemens Dubslaff
Fairly Allocating Goods and (Terrible) Chores
Hadi Hosseini, Aghaheybat Mammadov, Tomasz Wąs
On Lower Bounds for Maximin Share Guarantees
Halvard Hummel
Fair Division with Two-Sided Preferences
Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita
Ties in Multiwinner Approval Voting
Łukasz Janeczko, Piotr Faliszewski
Matchings under One-Sided Preferences with Soft Quotas
Santhini K. A., Raghu Raman Ravi, Meghana Nasre
Convergence in Multi-Issue Iterative Voting under Uncertainty
Joshua Kavner, Reshef Meir, Francesca Rossi, Lirong Xia
Random Assignment of Indivisible Goods under Constraints
Yasushi Kawase, Hanna Sumita, Yu Yokoi
Game Theory with Simulation of Other Players
Vojtěch Kovařík, Caspar Oesterheld, Vincent Conitzer
Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods
Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao
Auto-bidding with Budget and ROI Constrained Buyers
Xiaodong Liu, Weiran Shen
Approximating Fair Division on D-Claw-Free Graphs
Zbigniew Lonc
Fair Division of a Graph into Compact Bundles
Jayakrishnan Madathil
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks
Carlos Martin, Tuomas Sandholm
Deliberation and Voting in Approval-Based Multi-Winner Elections
Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
Learning Efficient Truthful Mechanisms for Trading Networks
Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash
Participatory Budgeting with Multiple Degrees of Projects and Ranged Approval Votes
Gogulapati Sreedurga
The Computational Complexity of Single-Player Imperfect-Recall Games
Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg
Error in the Euclidean Preference Model
Luke Thorburn, Maria Polukarov, Carmine Ventre
Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents
Tianze Wei, Bo Li, Minming Li
Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity
Anaëlle Wilczynski
Truthful Auctions for Automated Bidding in Online Advertising
Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen
Approximate Envy-Freeness in Graphical Cake Cutting
Sheung Man Yuen, Warut Suksompong
Incentive-Compatible Selection for One or Two Influentials
Yuxin Zhao, Yao Zhang, Dengji Zhao
Machine Learning
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
K. Darshana Abeyrathna, Ahmed A. O. Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein A. Tunheim, Xuan Zhang
GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration
Carlo Adornetto, Gianluigi Greco
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing
Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan
Learning to Learn from Corrupted Data for Few-Shot Learning
Yuexuan An, Xingyu Zhao, Hui Xue
Computing Abductive Explanations for Boosted Regression Trees
Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis
HOUDINI: Escaping from Moderately Constrained Saddles
Dmitrii Avdiukhin, Grigory Yaroslavtsev
Scaling Goal-based Exploration via Pruning Proto-goals
Akhil Bagaria, Tom Schaul
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks
Alexandra Baier, Decky Aspandi, Steffen Staab
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?
Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich
On Approximating Total Variation Distance
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran
Lifelong Multi-view Spectral Clustering
Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC
Sanjay Chandlekar, Shweta Jain, Sujit Gujar
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss
Yongjuan Che, Yuexuan An, Hui Xue
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
Gang Chen, Victoria Huang
Incremental and Decremental Optimal Margin Distribution Learning
Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi
Some General Identification Results for Linear Latent Hierarchical Causal Structure
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
Deep Multi-view Subspace Clustering with Anchor Graph
Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini
DeepPSL: End-to-End Perception and Reasoning
Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy
Scalable Coupling of Deep Learning with Logical Reasoning
Marianne Defresne, Sophie Barbe, Thomas Schiex
Neuro-Symbolic Class Expression Learning
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion
Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
ActUp: Analyzing and Consolidating tSNE and UMAP
Andrew Draganov, Jakob Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Cigdem Aslay
Automatic Truss Design with Reinforcement Learning
Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering
Thomas Eiter, Tobias Geibinger, Nelson Higuera, Johannes Oetsch
Cardinality-Minimal Explanations for Monotonic Neural Networks
Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks
Neural Capacitated Clustering
Jonas K. Falkner, Lars Schmidt-Thieme
A Fast Adaptive Randomized PCA Algorithm
Xu Feng, Wenjian Yu
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu, Irwin King
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Pratik Gajane, Peter Auer, Ronald Ortner
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning
Yi Gao, Miao Xu, Min-Ling Zhang
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning
Abhirup Ghosh, Cecilia Mascolo
Adaptive Estimation Q-learning with Uncertainty and Familiarity
Xiaoyu Gong, Shuai Lü, Jiayu Yu, Sheng Zhu, Zongze Li
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
Lies Hadjadj, Massih-Reza Amini, Sana Louhichi
Learning Preference Models with Sparse Interactions of Criteria
Margot Herin, Patrice Perny, Nataliya Sokolovska
BRExIt: On Opponent Modelling in Expert Iteration
Daniel Hernandez, Hendrik Baier, Michael Kaisers
Dynamic Flows on Curved Space Generated by Labeled Data
Xinru Hua, Truyen Nguyen, Tam Le, Jose Blanchet, Viet Anh Nguyen
DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition
Shuokang Huang, Po-Yu Chen, Julie McCann
Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
Federated Graph Semantic and Structural Learning
Wenke Huang, Guancheng Wan, Mang Ye, Bo Du
Enabling Abductive Learning to Exploit Knowledge Graph
Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou
Latent Processes Identification From Multi-View Time Series
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
Multi-Modality Deep Network for JPEG Artifacts Reduction
Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan, Liquan Shen
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Chan Kim, Jaekyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim
MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
Dong Won Lee, Yubin Kim, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang
Incomplete Multi-view Clustering via Prototype-based Imputation
Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng
Towards Sharp Analysis for Distributed Learning with Random Features
Jian Li, Yong Liu
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
Yang Li, Liangliang Shi, Junchi Yan
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG
Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
Contrastive Learning and Reward Smoothing for Deep Portfolio Management
Yun-Hsuan Lien, Yuan-Kui Li, Yu-Shuen Wang
Learning Survival Distribution with Implicit Survival Function
Yu Ling, Weimin Tan, Bo Yan
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu
Open-world Semi-supervised Novel Class Discovery
Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
Peng Liu, Haowei Wang, Wei Qiyu
Label Enhancement via Joint Implicit Representation Clustering
Yunan Lu, Weiwei Li, Xiuyi Jia
Recognizable Information Bottleneck
Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
Multi-View Robust Graph Representation Learning for Graph Classification
Guanghui Ma, Chunming Hu, Ling Ge, Hong Zhang
CTW: Confident Time-Warping for Time-Series Label-Noise Learning
Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
Jun-Xiang Mao, Wei Wang, Min-Ling Zhang
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction
Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Nathan Michlo, Richard Klein, Steven James
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan
An Empirical Study on the Language Modal in Visual Question Answering
Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
Canh V. Pham, Tan D. Tran, Dung T.K. Ha, My T. Thai
On Conditional and Compositional Language Model Differentiable Prompting
Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
FedSampling: A Better Sampling Strategy for Federated Learning
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
Efficient Online Decision Tree Learning with Active Feature Acquisition
Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
Some Might Say All You Need Is Sum
Eran Rosenbluth, Jan Tönshoff, Martin Grohe
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao, Marta Kwiatkowska
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
Zhaiming Shen, Ming-Jun Lai, Sheng Li
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane
Unreliable Partial Label Learning with Recursive Separation
Yu Shi, Ning Xu, Hua Yuan, Xin Geng
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks
Wonchul Shin, Yusung Kim
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning
Haolin Song, Mingxiao Feng, Wengang Zhou, Houqiang Li
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou
Improving Heterogeneous Model Reuse by Density Estimation
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Spike Count Maximization for Neuromorphic Vision Recognition
Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
Xiaoli Tang, Han Yu
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang
Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
Context-Aware Feature Selection and Classification
Juanyan Wang, Mustafa Bilgic
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou
Contrastive Label Enhancement
Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian
Scalable Optimal Margin Distribution Machine
Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
Shuhei Watanabe, Frank Hutter
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
Shuhei Watanabe, Archit Bansal, Frank Hutter
Generalization Bounds for Adversarial Metric Learning
Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu
More for Less: Safe Policy Improvement with Stronger Performance Guarantees
Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen
Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting
Jinming Wu, Qi Qi, Jingyu Wang, Haifeng Sun, Zhikang Wu, Zirui Zhuang, Jianxin Liao
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer
Yifan Wu, Shichao Kan, Min Zeng, Min Li
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
Meimei Yang, Pengfei Fang, Hui Xue
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
Zijian Yang, Zhiwei Li, Lu Sun
Multi-Task Learning via Time-Aware Neural ODE
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
LGI-GT: Graph Transformers with Local and Global Operators Interleaving
Shuo Yin, Guoqiang Zhong
On the Reuse Bias in Off-Policy Reinforcement Learning
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Chong Yu, Tao Chen, Zhongxue Gan
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization
Xiaohan Yu, Jun Wang, Yongsheng Gao
Explainable Reinforcement Learning via a Causal World Model
Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
Hierarchical State Abstraction based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
Dual Personalization on Federated Recommendation
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Liew, Zhetao Li
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
Learning to Binarize Continuous Features for Neuro-Rule Networks
Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang
SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching
Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing, Yanning Zhang
Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms
Yihan Zhang, Meikang Qiu, Hongchang Gao
Multi-level Graph Contrastive Prototypical Clustering
Yuchao Zhang, Yuan Yuan, Qi Wang
Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning
Zhe Zhang, Xiaoyang Tan
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Zheyu Zhang, Tianping Zhang, Jian Li
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening
Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng
Graph Neural Convection-Diffusion with Heterophily
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Reducing Communication for Split Learning by Randomized Top-k Sparsification
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
Zhehua Zhong, Tianyi Chen, Zhen Wang
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution
Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
Hierarchical Transformer for Scalable Graph Learning
Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu, Chao Yu, Qiang Zhang
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou
Graph Sampling-based Meta-Learning for Molecular Property Prediction
Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
Multidisciplinary Topics and Applications
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao
Specifying and Testing k-Safety Properties for Machine-Learning Models
Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz
A Generalized Deep Markov Random Fields Framework for Fake News Detection
Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
StockFormer: Learning Hybrid Trading Machines with Predictive Coding
Siyu Gao, Yunbo Wang, Xiaokang Yang
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Marzieh Haghighi, Mario C. Cruz, Erin Weisbart, Beth A. Cimini, Avtar Singh, Julia Bauman, Maria E. Lozada, Sanam L. Kavari, James T. Neal, Paul C. Blainey, Anne E. Carpenter, Shantanu Singh
Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering
Xixuan Hao, Danqing Huang, Jieru Lin, Chin-Yew Lin
Sequential Attention Source Identification Based on Feature Representation
Dongpeng Hou, Zhen Wang, Chao Gao, Xuelong Li
Differentially Private Partial Set Cover with Applications to Facility Location
George Z. Li, Dung Nguyen, Anil Vullikanti
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain
Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction
Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang
Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery
Ziping Ma, Yuesheng Zhu, Guibo Luo, Xiyao Liu, Gerald Schaefer, Hui Fang
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies
Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
Aðalsteinn Pálsson, Yngvi Björnsson
Revisiting the Evaluation of Deep Learning-Based Compiler Testing
Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung
Transferable Curricula through Difficulty Conditioned Generators
Sidney Tio, Pradeep Varakantham
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction
Feng Wu, Guoshuai Zhao, Xueming Qian, Li-wei H. Lehman
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization
Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, MengHan Wang
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization
Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian
Don't Ignore Alienation and Marginalization: Correlating Fraud Detection
Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data
Yuyao Zhai, Liang Chen, Minghua Deng
Towards Generalizable Reinforcement Learning for Trade Execution
Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction
Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Wai Leong Tam, Xiaoli Li
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow
Xiaolin Zheng, Mengpu Liu, Mengying Zhu
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu
Natural Language Processing
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering
Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
Li Cai, Xin Mao, Youshao Xiao, Changxu Wu, Man Lan
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Yuxi Feng, Xiaoyuan Yi, Laks V.S. Lakshmanan, Xing Xie
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
Yuchen Hu, Ruizhe Li, Chen Chen, Heqing Zou, Qiushi Zhu, Eng Siong Chng
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation
Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang
ScriptWorld: Text Based Environment for Learning Procedural Knowledge
Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer
Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi
Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models
Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail Bragin, Ji Li, Caiwen Ding
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation
Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen
iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning
Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, Hai Zhao
Local and Global: Temporal Question Answering via Information Fusion
Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification
Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li
ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction
Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin
Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining
Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi, Hiroshi Saruwatari
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?
Jingyuan Sun, Marie-Francine Moens
SQuAD-SRC: A Dataset for Multi-Accent Spoken Reading Comprehension
Yixuan Tang, Anthony K.H: Tung
PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy
Peng Wang, Jiafeng Xie, Xiye Chen, Guozheng Li, Wei Li
Privacy-Preserving End-to-End Spoken Language Understanding
Yinggui Wang, Wei Huang, Le Yang
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video
Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu
TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions
Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, Guangneng Hu
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder
Pei Yu, Liang Zhang, Biao Fu, Yidong Chen
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia
Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction
Liang Zhang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang, Yidong Chen
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method
Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng
Genetic Prompt Search via Exploiting Language Model Probabilities
Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang
Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection
Shiman Zhao, Wei Chen, Tengjiao Wang
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
